| Robustness to Adversarial Examples through an Ensemble of Specialists M Abbasi, C Gagné ICLR Workshop, 2017 | 140 | 2017 |
| A Principled Approach for Learning Task Similarity in Multitask Learning C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné IJCAI, 2019 | 62 | 2019 |
| Alternating direction method of multipliers for sparse convolutional neural networks F Kiaee, C Gagné, M Abbasi arXiv preprint arXiv:1611.01590, 2016 | 23 | 2016 |
| Task similarity estimation through adversarial multitask neural network F Zhou, C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné IEEE Transactions on Neural Networks and Learning Systems 32 (2), 466-480, 2020 | 20 | 2020 |
| Toward adversarial robustness by diversity in an ensemble of specialized deep neural networks M Abbasi, A Rajabi, C Gagné, RB Bobba Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 16 | 2020 |
| Controlling over-generalization and its effect on adversarial examples generation and detection M Abbasi, A Rajabi, AS Mozafari, RB Bobba, C Gagne arXiv preprint arXiv:1808.08282, 2018 | 8 | 2018 |
| Monocular 3D human pose estimation with a semi-supervised graph-based method M Abbasi, HR Rabiee, C Gagné 2015 International Conference on 3D Vision, 518-526, 2015 | 7 | 2015 |
| Toward Metrics for Differentiating Out-of-Distribution Sets M Abbasi, C Shui, A Rajabi, C Gagne, R Bobba NeurIPS Workshop on Safety and Robustness in Decision Making; ECAI 2020, 2019 | 6 | 2019 |
| Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning M Abbasi, A Rajabi, C Gagné, RB Bobba Dependable and Secure Machine Learning (DSML), 2018 | 6 | 2018 |
| Self-supervised Robust Object Detectors from Partially Labelled datasets M Abbasi, D Laurendeau, C Gagne https://arxiv.org/abs/2005.11549, 2020 | 4 | 2020 |
| Controlling Over-generalization and its Effect on Adversarial Examples Detection and Generation M Abbasi, A Rajabi, AS Mozafari, RB Bobba, C Gagné | 1 | 2018 |
| Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free A Rajabi, M Abbasi, RB Bobba, K Tajik Proceedings on Privacy Enhancing Technologies, 2022 | | 2022 |
| 2 Data anonymisation and synthesis M Abbasi, AS Charest, S Gambs, D Kazerani, D Loader, E Rezaei Les Cahiers du GERAD G–2021–51 iii 711 (51), 22, 2021 | | 2021 |
| Toward robust deep neural networks M Abbasi | | 2020 |
Christian GagnéProfessor at Université Laval - IID - LVSN - CeRVIM - CRDM - CIFAR - MilaVerified email at gel.ulaval.ca
